Calculating the Total Porosity of Shale Reservoirs by Combining Conventional Logging and Elemental Logging to Eliminate the Effects of Gas Saturation

被引:20
|
作者
Zhu, Linqi [1 ]
Zhang, Chong [1 ]
Guo, Cong [1 ]
Jiao, Yifeng [1 ]
Chen, Lie [1 ]
Zhou, Xueqing [1 ]
Zhang, Chaomo [1 ]
Zhang, Zhansong [1 ]
机构
[1] Yangtze Univ, 111 Univ Rd, Wuhan 430100, Hubei, Peoples R China
来源
PETROPHYSICS | 2018年 / 59卷 / 02期
基金
中国国家自然科学基金;
关键词
ORGANIC-CARBON CONTENT; FLUID VOLUMETRIC CONCENTRATIONS; CONTENT PREDICTION; WIRELINE LOGS; WELL LOGS; QUANTITATIVE CHARACTERIZATION; SOUTHERN SICHUAN; WATER SATURATION; BARNETT SHALE; CHINA;
D O I
10.30632/PJV59N2-2018a4
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Shale reservoir exploration technology has attracted increasing attention, and total porosity is a parameter that characterizes the shale storage. Due to the complexity of mineral components and the large variety of pore types, the evaluation accuracy of total porosity of shale reservoirs is not satisfactory, at present. To address this problem, this paper proposes an evaluation method for shale reservoir total porosity based on a shale petrophysical model. We first established the petrophysical model for the calculation of total porosity and then eliminated the effect of gas saturation in the petrophysical model by combining density and neutron-porosity logging. After that, evaluations of matrix density, matrix neutron porosity, and organic matter were conducted using a combined method of elemental logging and conventional logging. Finally, the total porosity of the shale reservoir was calculated. The calculation results showed that by using the elemental logging method based on actual conditions in the research area, the shale mineral composition could be obtained, and an accurate evaluation of matrix neutron porosity and matrix density could be realized. The total organic carbon (TOC) and organic matter (OM) in the shale reservoir can be accurately calculated according to conventional logging data. The evaluation accuracy of total porosity by this method was high, wherein the predicted relative error was only 0.4. Moreover, based on theoretical deduction, it is known that the proposed method has high applicability for shale reservoirs. If the inversion effect of matrix minerals can be guaranteed, an accurate calculation of shale total porosity can be obtained. In summary, the proposed method can accurately calculate the total porosity of shale reservoirs, which provides a reference for the exploration and exploitation of shale reservoirs.
引用
收藏
页码:162 / 184
页数:23
相关论文
共 45 条
  • [1] Estimation of total porosity in shale formations from element capture logging and conventional logging data
    Chong Zhang
    Xiu Wang
    Linqi Zhu
    [J]. Arabian Journal of Geosciences, 2018, 11
  • [2] Estimation of total porosity in shale formations from element capture logging and conventional logging data
    Zhang, Chong
    Wang, Xiu
    Zhu, Linqi
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2018, 11 (11)
  • [3] Quantitative evaluation of organic porosity and inorganic porosity in shale gas reservoirs using logging data
    Zhang, Chong
    Shan, Wen
    Wang, Xiu
    [J]. ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2019, 41 (07) : 811 - 828
  • [4] STUDY ON LOGGING INTERPRETATION FOR SHALE GAS RESERVOIRS
    Qin, Sang
    Min, Li
    [J]. JOURNAL OF THE BALKAN TRIBOLOGICAL ASSOCIATION, 2016, 22 (01): : 516 - 521
  • [5] A New Method for Calculating Fracture Porosity Based on Conventional Logging Data
    Lei M.
    Chen T.
    Han Q.
    Cheng M.
    Gao G.
    Sha X.
    Zhang Y.
    [J]. Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences, 2023, 48 (07): : 2678 - 2689
  • [6] A method for calculating gas hydrate saturation by dual parameters of logging
    Li, Haiyan
    Liu, Jundong
    Qu, Cuixia
    Song, Hongye
    Zhuang, Xueliang
    [J]. FRONTIERS IN EARTH SCIENCE, 2022, 10
  • [7] Predicting the total porosity of shale gas reservoirs
    Guo, Cong
    Zhang, Chong
    Zhu, Linqi
    [J]. PETROLEUM SCIENCE AND TECHNOLOGY, 2017, 35 (10) : 1022 - 1031
  • [8] A logging evaluation method for gas content of shale gas reservoirs in the Sichuan Basin
    Zhong, Guanghai
    Xie, Bing
    Zhou, Xiao
    Peng, Xiao
    Tian, Chong
    [J]. Natural Gas Industry, 2016, 36 (08) : 43 - 51
  • [9] Unsupervised contrastive learning: Shale porosity prediction based on conventional well logging
    Qiao, Lu
    Yang, Shengyu
    Hu, Qinhong
    Wang, Huijun
    He, Taohua
    [J]. PHYSICS OF FLUIDS, 2024, 36 (05)
  • [10] Application of Dipole Array Acoustic Logging in the Evaluation of Shale Gas Reservoirs
    Shi, Wenrui
    Wang, Xingzhi
    Shi, Yuanhui
    Feng, Aiguo
    Zou, Yu
    Young, Steven
    [J]. ENERGIES, 2019, 12 (20)